MIT CompBio Lecture 21 - Single-Cell Genomics 

Thank you so much Dr. Manolis Kellis. Greetings from Bimac Research Group at Universidad del Cauca, Colombia.

PCA to construct network, with network molecularity reduction usually has up to 0.8 clustering accuracy with low noise field dataset.

What's the overall performance of Seurat, Scanpy, SingleR, and ScPred ? Really depends on data sets.

Thank you, I really enjoyed this lecture, comprehensive, nice speech, good voice and video quality. 💜

Dr. Kellis, Thank you. Is this the entire lecture that you offered for scRNA-seq methods or are there more lectures that we can learn.

Thank you very much. It helped me a lot.

Is it also applicable for mitochondrial and chloroplast genomics ????

Awesome lecture...is there way to find codes for all the plots generated here?

Human Cell Atlas 📚

Great lecture!

Very clearly explained! Thank you so much.

Super great for preparing my own lectures, thank you very much Manolis! Did anyone catch the Barcoding: I think he said with 10 nucleotides there are 2^10 possibilities, does that mean for barcodes only 2 nucleotides are used? Else i'd be 4^10 possibilities?

nice intro, but every 10 seconds, he says "you know".